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Interbank loans, collateral and modern monetary policy

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  • Wolski, Marcin
  • van de Leur, Michiel

Abstract

This study develops a novel agent-based model of the interbank market with endogenous credit risk formation mechanisms. We allow banks to exchange funds through unsecured and secured transactions in order to facilitate the flow of funds to the most profitable investment projects. Our model confirms basic stylized facts on (i) bank balance sheet distributions, (ii) interbank interest rates and (iii) interbank lending volumes, for both the secured and the unsecured market segments. We also find that network structures within the secured market segment are characterized by the presence of dealer banks, while we do not observe similar patterns in the unsecured market. Finally, we illustrate the usefulness of our model for analysing a number of policy scenarios. JEL Classification: C63, E17, E47, E58

Suggested Citation

  • Wolski, Marcin & van de Leur, Michiel, 2016. "Interbank loans, collateral and modern monetary policy," Working Paper Series 1959, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20161959
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    1. Arvind Krishnamurthy & Stefan Nagel & Dmitry Orlov, 2014. "Sizing Up Repo," Journal of Finance, American Finance Association, vol. 69(6), pages 2381-2417, December.
    2. Gerlach, Stefan, 2011. "ECB repo rate setting during the financial crisis," Economics Letters, Elsevier, vol. 112(2), pages 186-188, August.
    3. Michael Ehrmann & Andreas Worms, 2004. "Bank Networks and Monetary Policy Transmission," Journal of the European Economic Association, MIT Press, vol. 2(6), pages 1148-1171, December.
    4. John B. Taylor & John C. Williams, 2009. "A black swan in the money market," Proceedings, Federal Reserve Bank of San Francisco, issue Jan.
    5. Ashraf, Quamrul & Gershman, Boris & Howitt, Peter, 2017. "Banks, market organization, and macroeconomic performance: An agent-based computational analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 143-180.
    6. anonymous, 2008. "The Center for Community Development Investments," Community Investments, Federal Reserve Bank of San Francisco, issue Spr, pages 1-18.
    7. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    8. Greenwood, Robin & Landier, Augustin & Thesmar, David, 2015. "Vulnerable banks," Journal of Financial Economics, Elsevier, vol. 115(3), pages 471-485.
    9. Caccioli, Fabio & Shrestha, Munik & Moore, Cristopher & Farmer, J. Doyne, 2014. "Stability analysis of financial contagion due to overlapping portfolios," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 233-245.
    10. Vasilis Hatzopoulos & Giulia Iori & Rosario N. Mantegna & Salvatore Miccichè & Michele Tumminello, 2015. "Quantifying preferential trading in the e-MID interbank market," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 693-710, April.
    11. Garcia-de-Andoain, Carlos & Hoffmann, Peter & Manganelli, Simone, 2014. "Fragmentation in the Euro overnight unsecured money market," Economics Letters, Elsevier, vol. 125(2), pages 298-302.
    12. Adam Copeland & Antoine Martin & Michael Walker, 2014. "Repo Runs: Evidence from the Tri-Party Repo Market," Journal of Finance, American Finance Association, vol. 69(6), pages 2343-2380, December.
    13. Filipović, Damir & Trolle, Anders B., 2013. "The term structure of interbank risk," Journal of Financial Economics, Elsevier, vol. 109(3), pages 707-733.
    14. Co-Pierre Georg & Jenny Poschmann, 2010. "Systemic risk in a network model of interbank markets with central bank activity," Jena Economic Research Papers 2010-033, Friedrich-Schiller-University Jena.
    15. Bech, Morten L. & Bergstrom, Carl T. & Rosvall, Martin & Garratt, Rodney J., 2015. "Mapping change in the overnight money market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 44-51.
    16. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2007. "Network models and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2033-2060, June.
    17. James Chapman & Jonathan Chiu & Miguel Molico, 2011. "Central bank haircut policy," Annals of Finance, Springer, vol. 7(3), pages 319-348, August.
    18. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
    19. Heider, Florian & Hoerova, Marie & Holthausen, Cornelia, 2015. "Liquidity hoarding and interbank market rates: The role of counterparty risk," Journal of Financial Economics, Elsevier, vol. 118(2), pages 336-354.
    20. Fischer, Thomas & Riedler, Jesper, 2014. "Prices, debt and market structure in an agent-based model of the financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 95-120.
    21. Antoine Martin & David Skeie & Ernst-Ludwig von Thadden, 2014. "Repo Runs," Review of Financial Studies, Society for Financial Studies, vol. 27(4), pages 957-989.
    22. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2013. "Money creation and financial instability: An agent-based credit network approach," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 7, pages 1-44.
    23. Loriano Mancini & Angelo Ranaldo & Jan Wrampelmeyer, 2016. "The Euro Interbank Repo Market," Review of Financial Studies, Society for Financial Studies, vol. 29(7), pages 1747-1779.
    24. Hommes,Cars, 2015. "Behavioral Rationality and Heterogeneous Expectations in Complex Economic Systems," Cambridge Books, Cambridge University Press, number 9781107564978.
    25. Jean-Charles Rochet & Jean Tirole, 1996. "Interbank lending and systemic risk," Proceedings, Board of Governors of the Federal Reserve System (U.S.), pages 733-765.
    26. Bluhm, Marcel & Krahnen, Jan Pieter, 2014. "Systemic risk in an interconnected banking system with endogenous asset markets," Journal of Financial Stability, Elsevier, vol. 13(C), pages 75-94.
    27. Oecd, 2008. "Partnership for Development: Investment in Africa," OECD Papers, OECD Publishing, vol. 7(12), pages 47-52.
    28. Oecd, 2008. "Developments in Fibre Technologies and Investment," OECD Digital Economy Papers 142, OECD Publishing.
    29. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    30. Peter Hördahl & Michael R King, 2008. "Developments in repo markets during the financial turmoil," BIS Quarterly Review, Bank for International Settlements, December.
    31. Iori, Giulia & Jafarey, Saqib & Padilla, Francisco G., 2006. "Systemic risk on the interbank market," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 525-542, December.
    32. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Leveraged network-based financial accelerator," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1626-1640.
    33. Florian Heider & Marie Hoerova, 2009. "Interbank Lending, Credit-Risk Premia, and Collateral," International Journal of Central Banking, International Journal of Central Banking, vol. 5(4), pages 5-43, December.
    34. John B. Taylor, 2009. "The Financial Crisis and the Policy Responses: An Empirical Analysis of What Went Wrong," NBER Working Papers 14631, National Bureau of Economic Research, Inc.
    35. Gorton, Gary & Metrick, Andrew, 2012. "Securitized banking and the run on repo," Journal of Financial Economics, Elsevier, vol. 104(3), pages 425-451.
    36. Markus K. Brunnermeier, 2009. "Deciphering the Liquidity and Credit Crunch 2007-2008," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 77-100, Winter.
    37. Ginés de Rus, 2008. "The Economic Effects of High Speed Rail Investment," OECD/ITF Joint Transport Research Centre Discussion Papers 2008/16, OECD Publishing.
    38. Roberto Cervone & Stefano Galavotti & Marco LiCalzi, 2009. "Symmetric Equilibria in Double Auctions with Markdown Buyers and Markup Sellers," Working Papers 187, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    39. Aymanns, Christoph & Georg, Co-Pierre, 2015. "Contagious synchronization and endogenous network formation in financial networks," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 273-285.
    40. Baltensperger, Ernst, 1980. "Alternative approaches to the theory of the banking firm," Journal of Monetary Economics, Elsevier, vol. 6(1), pages 1-37, January.
    41. Gai, Prasanna & Haldane, Andrew & Kapadia, Sujit, 2011. "Complexity, concentration and contagion," Journal of Monetary Economics, Elsevier, vol. 58(5), pages 453-470.
    42. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.
    43. Grzegorz Haᴌaj & Christoffer Kok, 2015. "Modelling the emergence of the interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 653-671, April.
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    Keywords

    agent-based models; collateral; interbank lending; networks; repo;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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